Data skills can change your career, and you don't need to be a "math person" or have a technical background to learn them. If you can use a computer and you're curious, you can do this. In just 10 hours of one-to-one lessons, you'll go from "I don't know where to start" to analyzing real data on your own.
Maybe you're a student who needs to analyze data for a course or a thesis. Maybe you're looking for your first job in data, finance or business and want a skill that employers ask for. Maybe you already use Excel every day, but your reports take hours and you suspect there's a faster way. Or maybe you've never written a line of code and the idea feels intimidating. This class is built for all of you, and every lesson starts from where you are today.
I'm an engineer, and I work with data, statistics and programming (SQL, Python, R, Excel) every day. I don't teach theory for its own sake. I teach the way I use these tools in real work: you get a real question, a real dataset, and a clear method for turning one into the other.
In 10 hours, you will be able to:
Write SQL queries on your own. Select, filter, sort and group data, combine several tables with JOINs, and answer real questions such as "which product sold the most each month?"
Clean and analyze data in Excel. Use lookup formulas, conditional calculations and PivotTables, and build clear charts, instead of spending hours on manual work.
Build your first Power BI dashboard. Import data, clean it with Power Query, create interactive visuals, and share a report that looks professional.
Explain your results. Turn a business question into a query or a dashboard, check that your results make sense, and present them to someone who doesn't know the data.
Show a finished project. Leave with a portfolio-ready analysis you can use in an interview or in your thesis.
How the 10 hours are organized (we adapt this to your level and goal)
Hours 1-2: Foundations. We define your goal, check your level, and cover your first SQL queries (SELECT, WHERE, ORDER BY).
Hours 3-4: SQL in depth. Grouping and summarizing data, JOINs across tables, and cleaning messy data.
Hours 5-6: Excel for analysis. Advanced formulas, PivotTables, and charts.
Hours 7-8: Power BI. Importing and cleaning data, building visuals, and creating an interactive dashboard.
Hours 9-10: Your project. We put everything together on a realistic dataset (sales, finance, HR or your own data), and I give you feedback and a plan for what to practice next.
If you already know some Excel or SQL, we skip what you know and spend more time on what you need. If you want to go deeper later (for example advanced DAX, Python or statistics), we can continue from the same foundation.
How the lessons work
Every lesson is one-to-one and tailored to you. You practice on your own screen with my guidance, so you learn by doing rather than by watching. Between sessions I can give you short exercises if you want extra practice, and you can send me questions anytime. If you have your own files or work data (anonymized, of course), we can use them, which makes the learning much more relevant. Otherwise I provide practice datasets.
I explain in English or French (or Arabic if that's easier for you), and I'm patient. There are no silly questions. If something doesn't click, I'll explain it another way until it does.
Who this class is for
Students in business, economics, engineering, science or social sciences
Job seekers and career changers who want a first step into data analysis
Professionals who want to automate reports and work faster
Complete beginners. No previous experience with SQL or Power BI is needed.
